LEADER 03816nam 22007092 450 001 9910777911203321 005 20160211114031.0 010 $a0-511-69866-6 010 $a1-107-19281-1 010 $a1-282-30272-8 010 $a9786612302725 010 $a0-511-58061-4 010 $a0-511-58093-2 010 $a0-511-57951-9 010 $a0-511-57877-6 010 $a0-511-58125-4 010 $a0-511-58025-8 035 $a(CKB)1000000000784226 035 $a(EBL)451982 035 $a(OCoLC)609843009 035 $a(SSID)ssj0000123765 035 $a(PQKBManifestationID)11131872 035 $a(PQKBTitleCode)TC0000123765 035 $a(PQKBWorkID)10011116 035 $a(PQKB)10473855 035 $a(UkCbUP)CR9780511581250 035 $a(MiAaPQ)EBC451982 035 $a(MiAaPQ)EBC4949814 035 $a(Au-PeEL)EBL451982 035 $a(CaPaEBR)ebr10333221 035 $a(Au-PeEL)EBL4949814 035 $a(CaONFJC)MIL230272 035 $a(OCoLC)671800571 035 $a(PPN)261354817 035 $a(EXLCZ)991000000000784226 100 $a20090604d2009|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA clinician's guide to statistics and epidemiology in mental health $emeasuring truth and uncertainty /$fS. Nassir Ghaemi$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2009. 215 $a1 online resource (xii, 151 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-70958-X 320 $aIncludes bibliographical references and index. 327 $aWhy data never speak for themselves -- Why you cannot believe your eyes : the three C's -- Levels of evidence -- Types of bias -- Randomization -- Regression -- Hypothesis testing : the dreaded P-value and statistical significance -- The use of hypothesis testing statistics in clinical trials -- The alternative : effect estimation -- What does causation mean? -- A philosophy of statistics -- Evidence-based medicine : defense and criticisms -- The alchemy of meta-analysis -- Bayesian statistics : why your opinion counts -- How journal articles get published -- How scientific research impacts practice -- Dollars, data, and drugs -- Bioethics and the clinician/researcher divide. 330 $aAccessible and clinically relevant, A Clinician's Guide to Statistics and Epidemiology in Mental Health describes statistical concepts in plain English with minimal mathematical content, making it perfect for the busy health professional. 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